现代医学对于肺结节的全程管理主要集中在影像学筛查、病理诊断及对病理恶性诊断明确的结节进行干预。但 是，对于影像学诊断证据不足或暂不具备病理活检适应证的群体缺乏有效的治疗干预措施。将人工智能，特别是 GPT，融入医 疗保健可以通过提供持续的个性化支持来革命性地改变患者管理。本研究方案旨在真实世界中评估，与传统咨询相比，基于 GPT的咨询是否能够改善肺结节管理和患者满意度。通过将人工智能置于肺癌早筛的背景下，本研究希望填补当前肺结节管 理实践中的空白，并提供可扩展的个性化解决方案。

Modern medicine’s comprehensive management of pulmonary nodules primarily focuses on imaging screening, pathological diagnosis, and intervention for nodules with confirmed malignant pathology. However, there is a lack of effective treatment  interventions for populations with insufficient imaging diagnostic evidence or who do not currently meet the indications for pathological  biopsy. Integrating artificial intelligence, particularly GPT, into healthcare can revolutionize patient management by providing  continuous personalized support. This real-world based research proposal aims to assess whether GPT-based consultations can  improve pulmonary nodule management and patient satisfaction compared to traditional consultations. By placing artificial intelligence  in the context of early lung cancer screening, this study hopes to fill the current gaps in pulmonary nodule management practices and  offer scalable personalized solutions.